/01Engagement
AI Shipping Sprint
Start here · 2 weeks · $7,500 fixed · Zero equity
Take one scoped AI feature from definition to production inside your existing product.
This is not a strategy deck. In two weeks a real, scoped capability goes live for your users.
Typical scope
- A focused scoping session to lock one shippable feature and its success criteria
- Production architecture and integration into your existing product
- The AI capability itself: assistant, search, RAG, recommendations, or workflow
- Evaluation, security, latency, and cost controls sized to the feature
- Deploy to production behind a flag, with rollout and monitoring
- Clear limits, so larger builds move to an AI Product Delivery engagement
Outcome
One scoped AI feature live in production in two weeks, for a fixed $7,500, with no equity and no lock-in.
/02Engagement
AI Product Delivery
Scoped and priced around the outcome
Take a larger AI feature or automation from definition through production, beyond a single sprint.
The goal is a capability operating inside the company's product or workflows, not an isolated demo.
Typical scope
- AI feature integration into an existing product
- Intelligent workflows, agents, RAG, recommendations, personalization, or search
- Internal automation and operational tools
- Data and API integration
- Evaluation, observability, security, privacy, latency, and cost controls
- Rollout planning, team enablement, and post-launch iteration
Outcome
A real capability shipped into production with the controls and adoption path to keep it useful.
/03Engagement
Fractional AI CTO
Ongoing senior partnership
Provide ongoing senior technical ownership while AI becomes a meaningful part of the product and operating model.
CTO-level judgment with direct implementation capacity, without immediately adding another full-time executive.
Typical scope
- AI and product-technology roadmap ownership
- Architecture and build-vs-buy decisions
- Leadership of high-leverage initiatives
- Direct contribution to critical implementation
- Engineering workflow modernization
- Team coaching, hiring support, and technical quality standards
- Vendor, model, infrastructure, risk, and cost decisions
- Executive communication and measurable progress reporting
Outcome
A senior owner for your AI roadmap who also ships: prioritization, architecture, delivery, and a stronger team.
